Utilizing data science resources to prepare and package integrated datasets

Part three of six of the "Charting the Life Course" webinar series.

August 20, 2020
8 a.m. to 9 a.m.

Register here for Zoom info or see flyer for more information: https://tinyurl.com/y5ffjmzz

Contact Information
Flyer for webinar number 3 in the Charting the Life Course webinar series. Session title is utilizing data science resources to prepare and package integrated datasets.

Charting the Life Course: An Interdisciplinary Blueprint

Life course research embraces the complexity of health and disease development by tackling the extensive interactions between genetics and environment. Life course research is not simply research across the lifespan but, instead, articulates the importance of complex systems science as a methodological framework to guide our research questions.

Attend the Charting the Life Course webinar series to learn how recent advances in computational analytics, computer science, and data collection can be used to enhance life course research. 

The webinar on August 20 will focus on Utilizing data science resources to prepare and package integrated datasets to make them accessible for researchers to generate and test new hypotheses.

The speakers for this session will discuss the importance of utilizing data from diverse sources for life course research and how to collect and harmonize data across these sources. Dr. Denny will talk about harmonizing data from large retrospective and prospective studies, pulling examples from the All of Us initiative. Dr. Tatonetti will discuss how data mining techniques can be used for hypothesis generation and how he collaborated with a journalist to find a dangerous drug interaction. Dr. Allen will describe steps for pooling data from prospective cohorts and give process recommendations to help avoid the problem of “bad data in –> bad results out”.

This webinar series was developed by the NCATS Lifespan Enterprise Committee.